About me
I recently graduated from Washington University in St. Louis and am seeking full-time opportunities in full-stack, mobile and ai-powered product engineering. My experience spans mobile applications, full-stack systems, cloud services, and applied AI, with a focus on building practical products that solve real-world problems.
Expanding on my interest in making AI accessible through intuitive user-facing applications, I developed a Smart Inventory Management System that transforms mobile devices into wireless QR/barcode scanners using a WebSocket-based communication network, eliminating the need for expensive industrial hardware. I also built an AI-powered iOS gas mileage tracking application that uses intelligent receipt and gas pump recognition, incorporating security-focused AI guardrails and validation mechanisms to improve reliability and user experience.
As a Kotlin Developer for the Washington University School of Medicine, I built the Android version of Synaptrack, a clinical motor-skill assessment application, integrating motion sensor data and custom filtering algorithms to achieve high parity with iOS performance. I collaborated with clinicians and data scientists to support a 30-patient pilot study. Previously, as a Software Development Engineering Intern at Papertrail Auto, I contributed to Flutter and AWS development for a cross-platform automotive records application, implemented notification systems, and reduced application startup time by 50%.
My technical experience includes Kotlin, Swift, JavaScript, React, React Native, Flutter, Express, PostgreSQL, AWS, WebSockets, and AI integration workflows. I enjoy building scalable software, working across disciplines, and creating technology that delivers measurable value to users.
Contact me
Professional Experience
Software Developer | Washington University in St. Louis School of Medicine
May 2025 - Present
- Led development of a 10 Android task-module framework for SynapTrack, a clinical research application used to assess motor-function changes in spinal disease patients, independently rebuilding task workflows from the existing iOS implementation using Kotlin.
- Achieved cross-platform sensor parity within 10–20% of iOS baseline through engineered motion-processing pipelines using Kalman and low-pass filtering to replicate proprietary iOS CoreMotion sensor outputs.
- Hosted a 30 patient pilot study and supported continuous maintenance of the Android platform through production releases on Google Play.
- Built a React Native health dashboard consuming Health Connect data via a Kotlin bridge layer, displaying real-time patient metrics within the clinical application.
Software Development Intern | Papertrail Inc.
June 2024 - August 2024
- Resolved performance bottlenecks, reducing cold-start time by 50% while addressing user-reported defects in production releases.
- Built cloud-based app push notifications using AWS Lambda and S3, enabling scalable delivery of application updates, engagement remainders and user communications.
- Developed production mobile features in Flutter by translating Figma designs into production release serving active users.
Teaching Assistant | Washington University in St. Louis
Aug 2023 - May 2026
- Mentored 200+ students across web development, mobile, and computer engineering courses through office hours, code reviews, and one-on-one technical guidance.
- Proposed and implemented a revised grading rubric adopted by course staff, improving evaluation consistency across assignments and exams involving React, JavaScript, Swift, and Arduino.